The economic impact of AI is a topic of growing interest and debate. While the stock market and venture capital investors are bullish on AI, with significant investments pouring into the sector, there are concerns about a tech bubble reminiscent of the dot-com era. However, as William Janeway points out, speculative bubbles can lead to valuable infrastructure and innovations that sustain long-term growth. If AI follows this pattern, its impact could be transformative. The dot-com boom offers lessons in how emerging technologies can boost productivity and GDP growth. Some AI evangelists predict that the arrival of artificial general intelligence (AGI) could drive breakthroughs in various fields, potentially eradicating disease, reducing poverty, and fostering global cooperation. However, traditional economic metrics like GDP growth may not fully capture the effects of the AI-driven economy. For instance, GDP growth is often a lagging indicator of structural change, and historical examples like steam power and electricity show that transformative technologies can take decades to register in official statistics. The current lack of comprehensive data on AI usage and applications is a challenge. Researchers and tech companies are calling for systematic data collection to help businesses and governments understand demand, opportunity, and policy implications. While GDP growth is a key metric, other indicators like energy consumption, labor-market shifts, and data use can provide valuable insights into AI's transformative effects. Time-use data and structural indicators can also help us understand AI's broader economic impact. However, the current lack of such metrics and the cautious approach of policymakers pose challenges. Academics are eager to improve our understanding of AI's economic impact, but for now, we are in a similar position to the Victorians who relied on literature rather than official statistics to understand the impact of steam power and railways. The future of AI's economic impact is uncertain, but the potential for transformation is significant, and a comprehensive understanding is crucial for businesses, governments, and policymakers alike.
